Priya Raman
Staff Data Scientist
San Francisco, CA priya.raman@gmail.com +1 (650) 555-0148 linkedin.com/in/priyaraman scholar.google.com/priyaraman
Summary
Data scientist with 9 years turning ambiguous questions into shipped models. Built the LTV forecasting system at DoorDash that reallocated $30M of marketing spend and improved ROAS 22%.
Experience
Staff Data Scientist · Growth
DoorDash · San Francisco, CA
Feb 2021 — Present
- Built customer LTV forecasting models that reallocated $30M marketing spend and lifted ROAS 22%.
- Designed the company-wide experimentation platform; reduced experiment setup time 65% for 180 analysts.
- Drove causal-inference study that killed a $4M feature before launch, saving 14 engineer-months.
Senior Data Scientist
Airbnb · San Francisco, CA
Jun 2017 — Jan 2021
- Developed pricing elasticity model adopted by 1.2M hosts; increased booking revenue 7%.
- Reduced fraud false-positives 41% with a gradient-boosted detection pipeline at 12ms latency.
Skills
Python · SQL · PyTorch · Causal Inference · A/B Testing · Spark · dbt · Tableau · Bayesian Stats
Education
Stanford University
M.S. Statistics
2014 — 2016
Focus: causal inference & experimentation
UC Berkeley
B.A. Applied Mathematics
2010 — 2014